Ternary Bonsai 2 27B vs Hunyuan3D 2.1
At a Glance
| Compare |  Ternary Bonsai 2 27BPrismML |  Hunyuan3D 2.1Tencent |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.075Openrouter ↗ · Sep 23, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.50Openrouter ↗ · Sep 23, 2026 | Not reported |
| Context windowMaximum documented tokens | 262K | Not reported |
| Model facts checked | Sep 18, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Ternary Bonsai 2 27B | Hunyuan3D-2.1 |
|---|---|---|
| Developer | PrismML | Tencent |
| Family | Bonsai 2 | Hunyuan3d 2 1 |
| Model | Ternary Bonsai 2 27B | Hunyuan3D-2.1 |
| Version | Ternary Bonsai 2 27B | Hunyuan3D-2.1 |
| Lifecycle | active | active |
| Released | 2026-09-17 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Image |
| Output modalities | Text | 3D |
| Context window | 262K | Unknown |
| Total parameters | 27.4B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Openrouter (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, tools, vision | generation |
| Base model | Qwen3.8 27B | Unknown |
| Effective bit width | 1.76 bits per weight | Unknown |
| Language model size | 5.93 GB | Unknown |
| Weight format | Ternary g128 with FP16 group scales | Unknown |
Ternary Bonsai 2 27B Capabilities
Hunyuan3D 2.1 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Ternary Bonsai 2 27B vs Hunyuan3D 2.1 FAQs
Is Ternary Bonsai 2 27B or Hunyuan3D 2.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Ternary Bonsai 2 27B and Hunyuan3D 2.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Ternary Bonsai 2 27B or Hunyuan3D 2.1?+
Only Ternary Bonsai 2 27B has a directly sourced input price: $0.075 per million tokens. Only Ternary Bonsai 2 27B has a directly sourced output price: $0.50 per million tokens.
Which has a larger context window, Ternary Bonsai 2 27B or Hunyuan3D 2.1?+
Neither model has a larger sourced context window in this comparison. Ternary Bonsai 2 27B is 262K and Hunyuan3D 2.1 is —.
Which performs better in benchmarks, Ternary Bonsai 2 27B or Hunyuan3D 2.1?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Ternary Bonsai 2 27B or Hunyuan3D 2.1 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Ternary Bonsai 2 27B is open weight; Hunyuan3D 2.1 is open weight.
Can Ternary Bonsai 2 27B and Hunyuan3D 2.1 understand images?+
Ternary Bonsai 2 27B is documented with image input; Hunyuan3D 2.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Ternary Bonsai 2 27B or Hunyuan3D 2.1?+
Neither has a larger sourced maximum output. Ternary Bonsai 2 27B is — and Hunyuan3D 2.1 is —.
Do Ternary Bonsai 2 27B and Hunyuan3D 2.1 support reasoning and tool use?+
Ternary Bonsai 2 27B: reasoning, tool calling, and image input. Hunyuan3D 2.1: image input. Feature support does not establish relative quality.
Which is available from more inference providers, Ternary Bonsai 2 27B or Hunyuan3D 2.1?+
Ternary Bonsai 2 27B has 1 sourced provider route; Hunyuan3D 2.1 has 0, so Ternary Bonsai 2 27B has broader tracked availability.
Which offers better value, Ternary Bonsai 2 27B or Hunyuan3D 2.1?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.